Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data


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Documentation for package ‘midasml’ version 0.1.10

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midasml-package midasml
alfred_vintages ALFRED monthly and quarterly series vintages
cv.panel.sglfit Cross-validation fit for panel sg-LASSO
cv.sglfit Cross-validation fit for sg-LASSO
dateMatch Match dates
gb Gegenbauer polynomials shifted to [a,b]
ic.panel.sglfit Information criteria fit for panel sg-LASSO
ic.sglfit Information criteria fit for sg-LASSO
lb Legendre polynomials shifted to [a,b]
market_ret SNP500 returns
midas.ardl MIDAS regression
midasml midasml
mixed_freq_data MIDAS data structure
mixed_freq_data_single MIDAS data structure
monthBegin Beginning of the month date
monthEnd End of the month date
predict.cv.panel.sglfit Computes prediction
predict.cv.sglfit Computes prediction
predict.ic.panel.sglfit Computes prediction
predict.ic.sglfit Computes prediction
predict.sglpath Computes prediction
reg.panel.sgl Regression fit for panel sg-LASSO
reg.sgl Fit for sg-LASSO regression
rgdp_dates Real GDP release dates
rgdp_vintages Real GDP vintages
sglfit Fits sg-LASSO regression
thetafit Nodewise LASSO regressions to fit the precision matrix Theta
tscv.sglfit Time series cross-validation fit for sg-LASSO
us_rgdp US real GDP data with several high-frequency predictors